Automated testing is the best way to increase efficiency while reducing the defects of software testing. It helps find bugs in code easily and at an early stage so that they can be tackled efficiently. This book delves into essential testing concepts used in Python to help you build robust and maintainable code. Python Testing Cookbook begins with a brief introduction to Python's unit testing framework to help you write automated test cases. You will learn how to write suitable test sets for your software and run automated test suites with Nose. You will then work with the unittest.mock library, which allows you to replace the parts of your system that are being tested with mock objects and make assertions about how they have been used. You will also see how to apply Test-driven Development (TDD) and Behavior-driven Development (BDD) and how to eliminate issues caused by TDD. The book explains how to integrate automated tests using Continuous Integration and perform smoke/load testing. It also covers best practices and will help you solve persistent testing issues in Python. The book concludes by helping you understand how doctest works and how Selenium can be used to test code efficiently.
Create your own car engine control unit (ECU) with a simple Raspberry PI while building the necessary skills to produce future more advanced projects. Once you've worked through the projects in this book, you'll have a smart car and the coding knowledge needed to develop advanced hardware and software projects.
Всестороннее практическое руководство по фреймворку модульного тестирования для языка программирования Java. При создании приложения крайне важно иметь чистый код, эффективную среду и эффективные системы. Автоматическое тестирование модулей помогает разработчикам достичь этих целей. Фреймворк тестирования JUnit - это популярный выбор среди разработ ...
Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext.
If you're new to object-oriented programming techniques, or if you have basic Python skills and wish to learn in depth how and when to correctly apply object-oriented programming in Python to design software, this is the book for you.
Harness the power of Python objects and data structures to implement algorithms for analyzing your data and efficiently extracting information. This Learning Path helps you get comfortable with the world of Python. It starts with a thorough and practical introduction to Python. You'll quickly start writing programs, building websites, and working w ...
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